Tag: on-device AI

Explore when to use Edge Inference and Small Language Models (SLMs) over the cloud. Learn about model compression, latency, and on-device AI trade-offs.

Recent-posts

Curriculum and Data Mixtures: Accelerating LLM Scaling in 2026

Curriculum and Data Mixtures: Accelerating LLM Scaling in 2026

May, 31 2026

Velocity vs Risk: Balancing Speed and Safety in Vibe Coding Rollouts

Velocity vs Risk: Balancing Speed and Safety in Vibe Coding Rollouts

Oct, 15 2025

Schema-Constrained Prompts: Forcing JSON and Structured Outputs from LLMs

Schema-Constrained Prompts: Forcing JSON and Structured Outputs from LLMs

May, 25 2026

Reasoning-Capable Large Language Models: How Internal Thinking Changes AI

Reasoning-Capable Large Language Models: How Internal Thinking Changes AI

Sep, 20 2026

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Jul, 6 2025